Interfacing brain and computer in neurorehabilitation

Brain-Computer Interface (BCI) technology exploiting electroencephalographic (EEG) sensorimotor oscillations is a potential tool to promote neuronal plasticity after stroke and ultimately to improve motor rehabilitation outcomes in post-stroke sub-acute and chronic stage. Nevertheless, the cost/effectiveness of BCI-based rehabilitative interventions remains to be addressed when considering the heterogeneity in the post-stroke functional motor impairment (clinical status) and the central nervous system reorganization (neuroplasticity). In this paper, we will provide preliminary findings on how multimodal neurophysiological methods to asses potential recovery after stroke can be use to foster an effective applicability of BCI technology in neuro-rehabilitation care.